This data is in an old format and instructions on the snodas site a bit cumbersome to work with. So here is pure python code to transform it to a tif file for use in all GIS software. This is after the files are downloaded and decompressed.
You actually open the metadata file (
.txt. here) and the accompanying dat file will be read automatically as long as its in the same directory.
import rasterio metadata_file = 'zz_ssmv11034tS__T0001TTNATS2016013105HP001.txt' dst_tif_file = 'zz_ssmv11034tS__T0001TTNATS2016013105HP001.tif' with rasterio.open(metadata_file) as src: src_profile = src.profile # Switch driver to tiff with compression src_profile.update(driver = 'GTiff',compress='lzw',) with rasterio.open(dst_tif_file, 'w', **src_profile) as dst: dst.write(src.read())